# Search Quality Analyst

**Company**: Perplexity
**Location**: Belgrade, Berlin, London
**Work arrangement**: hybrid
**Experience**: mid
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.ashbyhq.com/perplexity/3b349a2f-360e-44e6-a57d-6a87bc3016a7?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_396184fc-713

## Description

Perplexity is looking for an experienced analyst to help us build and improve our core search technologies. You'll work at the intersection of data analysis and engineering — designing metrics, building data pipelines, and improving the quality of our search and answer systems.

## What you'll do

You'll find and diagnose quality issues in our search pipeline, design metrics from scratch to track and measure search quality, build datasets for model training, including LLM-as-a-judge labeling pipelines, improve search snippet quality and page selection algorithms for indexing, and design and analyze A/B experiments to validate improvements.

## What you need

- 4+ years of experience as a data analyst or in a related role

- Strong coding skills — expected to write production-grade code at a mid-level backend engineer level

- Proficiency with SQL and Python

- Demonstrated hands-on experience with **at least one** of the following: designing metrics from scratch (not just analyzing existing A/B experiments), building labeling pipelines using LLM-as-a-judge, training ML models that shipped to production with measurable metric improvements, or designing evals with known ground truth (e.g. SimpleQA, BrowseComp) or driving meaningful improvements on such evals

## Skills

### Required
- data analysis
- engineering
- SQL
- Python

### Nice to have
- search-related products
- statistics
- A/B experiment design
- Apache Spark or Databricks

---

Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/perplexity/3b349a2f-360e-44e6-a57d-6a87bc3016a7?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)